Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours

Detalhes bibliográficos
Autor(a) principal: Ricardo, Sara
Data de Publicação: 2015
Outros Autores: Marcos-Silva, Lara, Pereira, Daniela, Pinto, Rita, Almeida, Raquel, Söderberg, Ola, Mandel, Ulla, Clausen, Henrik, Felix, Ana, Lunet, Nuno, David, Leonor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.1016/j.molonc.2014.10.005
Resumo: Support by Programa Operacional Ciencia e Inovacao 2010 do Quadro Comunitario de Apoio III and FEDER (PTDC/SAU-ONC/117216/2010). IPATIMUP is an Associate Laboratory of the Portuguese Ministry of Science, Technology and Higher Education and partially supported by FCT. Project NORTE - 07-0124-FEDER-000024 co-financed by Programa Operacional Regional do Norte (ON.2 - O Novo Norte), under Quadro de Referencia Estrategico Nacional (QREN), by Fundo Europeu de Desenvolvimento Regional (FEDER). Lara Marcos-Silva acknowledges also FCT for financial support through a PhD fellowship (SFRH/BD/60536/2009). Support by Kirsten og Freddy Johansen Fonden, A.P. Moller og Hustru Chastine McKinney Mollers Fond til Almene Formaal, The Novo Nordisk Foundation, The Danish Research Councils, a programme of excellence from the University of Copenhagen, and The Danish National Research Foundation (DNRF107).
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spelling Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumoursGlyco-mucin profileMUC1MUC16Ovarian cancerProximity ligation assayMolecular MedicineGeneticsCancer ResearchSDG 3 - Good Health and Well-beingSupport by Programa Operacional Ciencia e Inovacao 2010 do Quadro Comunitario de Apoio III and FEDER (PTDC/SAU-ONC/117216/2010). IPATIMUP is an Associate Laboratory of the Portuguese Ministry of Science, Technology and Higher Education and partially supported by FCT. Project NORTE - 07-0124-FEDER-000024 co-financed by Programa Operacional Regional do Norte (ON.2 - O Novo Norte), under Quadro de Referencia Estrategico Nacional (QREN), by Fundo Europeu de Desenvolvimento Regional (FEDER). Lara Marcos-Silva acknowledges also FCT for financial support through a PhD fellowship (SFRH/BD/60536/2009). Support by Kirsten og Freddy Johansen Fonden, A.P. Moller og Hustru Chastine McKinney Mollers Fond til Almene Formaal, The Novo Nordisk Foundation, The Danish Research Councils, a programme of excellence from the University of Copenhagen, and The Danish National Research Foundation (DNRF107).The CA125 assay detects circulating MUC16 and is one of the most widely used cancer biomarkers for the follow-up of ovarian cancer. We previously demonstrated that detection of aberrant cancer-associated glycoforms of MUC16 as well as MUC1 in circulation could improve the yield of these serum assays. Our aim was to refine ovarian cancer biomarkers by detection of aberrant glycoforms (Tn, STn, and T) of MUC16 and MUC1 in ovarian cancer tissue using Proximity Ligation Assays (PLA).We studied two series of serous ovarian tumours, a pilot series of 66 ovarian tumours (27 cystadenomas, 16 borderline tumours and 23 adenocarcinomas) from Centro Hospitalar S. João, Porto and a validation series of 89 ovarian tumours (17 cystadenomas, 25 borderline tumours and 47 adenocarcinomas) from the Portuguese Institute of Oncology Francisco Gentil, Lisbon.PLA reactions for MUC16/Tn, MUC16/STn, MUC1/Tn and MUC1/STn were negative in benign lesions but often positive in borderline and malignant lesions, in both series. An even better yield was obtained based on positivity for any of the four glyco-mucin profiles, further increasing sensitivity to 72% and 83% in the two series, respectively, with 100% specificity. The strategy is designated glyco-mucin profiling and provides strong support for development of PLA-based serum assays for early diagnosis.Centro de Estudos de Doenças Crónicas (CEDOC)NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNRicardo, SaraMarcos-Silva, LaraPereira, DanielaPinto, RitaAlmeida, RaquelSöderberg, OlaMandel, UllaClausen, HenrikFelix, AnaLunet, NunoDavid, Leonor2017-09-13T22:03:57Z2015-02-012015-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10application/pdfhttps://doi.org/10.1016/j.molonc.2014.10.005eng1574-7891PURE: 3127587http://www.scopus.com/inward/record.url?scp=84921309842&partnerID=8YFLogxKhttps://doi.org/10.1016/j.molonc.2014.10.005info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:11:28Zoai:run.unl.pt:10362/23240Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:27:43.295296Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours
title Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours
spellingShingle Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours
Ricardo, Sara
Glyco-mucin profile
MUC1
MUC16
Ovarian cancer
Proximity ligation assay
Molecular Medicine
Genetics
Cancer Research
SDG 3 - Good Health and Well-being
title_short Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours
title_full Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours
title_fullStr Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours
title_full_unstemmed Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours
title_sort Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours
author Ricardo, Sara
author_facet Ricardo, Sara
Marcos-Silva, Lara
Pereira, Daniela
Pinto, Rita
Almeida, Raquel
Söderberg, Ola
Mandel, Ulla
Clausen, Henrik
Felix, Ana
Lunet, Nuno
David, Leonor
author_role author
author2 Marcos-Silva, Lara
Pereira, Daniela
Pinto, Rita
Almeida, Raquel
Söderberg, Ola
Mandel, Ulla
Clausen, Henrik
Felix, Ana
Lunet, Nuno
David, Leonor
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Centro de Estudos de Doenças Crónicas (CEDOC)
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
RUN
dc.contributor.author.fl_str_mv Ricardo, Sara
Marcos-Silva, Lara
Pereira, Daniela
Pinto, Rita
Almeida, Raquel
Söderberg, Ola
Mandel, Ulla
Clausen, Henrik
Felix, Ana
Lunet, Nuno
David, Leonor
dc.subject.por.fl_str_mv Glyco-mucin profile
MUC1
MUC16
Ovarian cancer
Proximity ligation assay
Molecular Medicine
Genetics
Cancer Research
SDG 3 - Good Health and Well-being
topic Glyco-mucin profile
MUC1
MUC16
Ovarian cancer
Proximity ligation assay
Molecular Medicine
Genetics
Cancer Research
SDG 3 - Good Health and Well-being
description Support by Programa Operacional Ciencia e Inovacao 2010 do Quadro Comunitario de Apoio III and FEDER (PTDC/SAU-ONC/117216/2010). IPATIMUP is an Associate Laboratory of the Portuguese Ministry of Science, Technology and Higher Education and partially supported by FCT. Project NORTE - 07-0124-FEDER-000024 co-financed by Programa Operacional Regional do Norte (ON.2 - O Novo Norte), under Quadro de Referencia Estrategico Nacional (QREN), by Fundo Europeu de Desenvolvimento Regional (FEDER). Lara Marcos-Silva acknowledges also FCT for financial support through a PhD fellowship (SFRH/BD/60536/2009). Support by Kirsten og Freddy Johansen Fonden, A.P. Moller og Hustru Chastine McKinney Mollers Fond til Almene Formaal, The Novo Nordisk Foundation, The Danish Research Councils, a programme of excellence from the University of Copenhagen, and The Danish National Research Foundation (DNRF107).
publishDate 2015
dc.date.none.fl_str_mv 2015-02-01
2015-02-01T00:00:00Z
2017-09-13T22:03:57Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.1016/j.molonc.2014.10.005
url https://doi.org/10.1016/j.molonc.2014.10.005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1574-7891
PURE: 3127587
http://www.scopus.com/inward/record.url?scp=84921309842&partnerID=8YFLogxK
https://doi.org/10.1016/j.molonc.2014.10.005
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
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instacron_str RCAAP
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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